Cancer research focuses on new pharmacological agents. Enzymatic approaches have shown promise in reducing cancer burden in experimental models. In this study, Aspergillus fumigatus, a new high-productivity L-methionine-producing fungus, was isolated from soil samples. The enhancement of enzyme production by A. fumigatus was carried out using the method. One-factor-at-a-time for seven different parameters: temperature (25°C, 30°C, 35°C, and 40°C), pH (6 to 10), incubation time (4 to 8 days), inoculum (1% to 3%), substrate concentration (0.2% to 0.5%), and various carbon sources (glucose, fructose, maltose, and lactose), and organic and inorganic nitrogen sources (Yeast extract, peptone, potassium nitrate, and ammonium sulfate). The statistical method, Plackett-Burman (PB), and response surface method design were used for optimization using Design Expert 13 software. The PB formula consisted of 12 run trials and 9 factors: temperature, pH, glucose, and yeast extract. Incubation time: dipotassium phosphate, potassium nitrate, magnesium sulfate, and potassium chloride Three important parameters were identified in this analysis: temperature, yeast extract, and dipotassium phosphate with p-values
Key words: L-Methionase, Anti-Cancer Enzyme, Aspergillus fumigatus, Optimization, Plackett Burman design, Central Composite Design.
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